Statistical Analysis of Machine Failure Patterns in Manufacturing Systems

This paper analyzes machine failure patterns using statistical and machine learning techniques. Logistic regression and Random Forest models were applied to identify key operational factors affecting failure probability. The findings demonstrate the importance of tool wear and torque in predictive maintenance modelling.